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1 Excel functions =NORMSDIST( z value) =NORMSINV ( probability ...

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convenience, there is also a column recording whether a student lost weight (0 = “no weight<br />

lost”, 1 = “some weight lost”).<br />

The pulled records reveal that only 24 on the 40 graduates achieved any weight loss during<br />

the month. That means that only 60% of the records pulled demonstrate any weight loss. The<br />

question you must now consider is: is this evidence strong enough to justify an accusation of<br />

false advertising by Beautiful U?<br />

THE QUESTION:<br />

Suppose that the average weight lost by a student in the program is 5 pounds, with a<br />

standard deviation of 20 pounds. How likely is it that the average weight loss in a<br />

random sample of 40 students will be 8.45 pounds or more?<br />

4. Our task to find the <strong>probability</strong> that something is greater than or equal to 8.45. What is that “something”?<br />

a) z b) σ c) s d) µ e) x (x-bar)<br />

5. Our sample size is 40, so we’ll be able to apply our 191 techniques to answer THE QUESTION. This is<br />

because the histogram of a 40 student sample suggests that the population is<br />

a) perfectly normal b) roughly normal c) roughly symmetric d) roughly binomial e) bimodal<br />

6. Question #2 says that “we’ll be able to apply our 191 techniques to answer THE QUESTION”. This is<br />

because the observation that we made in Question #2 allows us to conclude that<br />

a). the population is approximately normal<br />

b). µ is approximately normal<br />

c). the sampling distribution of the mean is approximately normal<br />

d). s is a good approximation for σ<br />

e). µ is a good approximation for x .<br />

7. To answer THE QUESTION, we need to find<br />

the standard deviation of the sampling<br />

distribution of the mean. It is equal to<br />

a). 20<br />

b). 20/40 = 0.5<br />

c). (8.45 - 5)/20 = 0.1725<br />

d). SQRT(8.45 × (20 – 8.45)/40) = 1.562<br />

e). 20/SQRT(40) = 3.162<br />

2<br />

8. We also need to know the mean of the<br />

sampling distribution of the mean. In this<br />

problem, this is<br />

a). <strong>=NORMSINV</strong>(0.1725) = -0.9443<br />

b). <strong>=NORMSINV</strong>(1-0.1725) = 0.9443<br />

c). 5<br />

d). =SQRT(40) = 6.325<br />

e). 8.45<br />

9. Which calculation would give the <strong>probability</strong> that one student chosen at random from the Beautiful U<br />

graduates would have lost 8.45 pounds or more? (Assume, for this problem only, that weight loss is<br />

normally distributed.)<br />

a). = NORMDIST( 5, 8.45, 20, TRUE)<br />

b). = NORMDIST( 5, 8.45, 3.162, TRUE)<br />

c). = NORMDIST( 8.45, 5, 20, TRUE)<br />

d). =1 - NORMDIST( 8.45, 5, 20, TRUE)<br />

e). =1 - NORMDIST( 8.45, 5, 3.162, TRUE)<br />

10. Suppose that the answer to THE QUESTION is 0.1376. What does this mean?<br />

a). About 14% of all Beautiful U students lose 5 pounds or more.<br />

b). About 14% of all Beautiful U students lose 8.45 pounds or more.<br />

c). About 14% of the students in a sample of 40 students would be expected to lose 5 pounds or more.<br />

d). About 14% of the students in a sample of 40 students would be expected to lose 8.45 pounds or more.<br />

e). None of these interpretations is correct.

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